Search

This chapter is on the differential use of distributed space-time coding (DSTC). First, the transmission protocol and decoding of differential DSTC are explained in Sect. 4.1. Then several code designs are introduced in Sect. 4.2. Finally, simulated error probability of differential DSTC is shown in Sect. 4.3.

The coherent distributed space-time coding (DSTC) schemes introduced in Chaps. 2 and 3 require full channel state information (CSI) at the receiver. In reality, training and channel estimations need to be conducted to obtain the required CSI at the receiver. The estimated CSI is then used in the data transmission. This chapter is on channel training and training-based DSTC. First, the training and estimation of the global and individual channels of the relay network are considered in Sect. 5.1. Then, training-based DSTC, i.e, DSTC with estimated CSI, is studied in Sect. 5.2. After that, the training and estimation of the end-to-end channels for single-antenna relay network and multiple-antenna relay network are explained in Sects. 5.3 and 5.4, respectively.

In the previous chapter, distributed space-time coding (DSTC) is introduced for single-antenna multiple-relay network, where there are multiple relays in the network but every node (the transmitter, the receiver, or a relay) is equipped with a single antenna. In this chapter, DSTC is used for multiple-antenna multiple-relay network, where each node in the network can be equipped with multiple antennas. At first, the multiple-antenna multiple-relay network model is specified in Sect. 3.1. Then the DSTC scheme, its diversity order analysis, and code design are demonstrated in Sect. 3.2. After that, the combination of DSTC and maximum-ratio combining (MRC) is explained in Sect. 3.3. Finally, simulated error probabilities of some multiple-antenna multiple-relay networks are shown.